1
Approve the readiness assessment
Human reviewers decide whether the submitted inputs are complete, current, and representative enough to use.
Readiness results
Generate a blueprint to calculate scores.
The dashboard will calculate the overall readiness score, sector scores, readiness level, top gaps, and priority actions from the form inputs.
Sector readiness will render after the blueprint is generated.
Infrastructure, literacy, governance, capacity will render after the blueprint is generated.
Scenario comparison
Compare three adoption paths
Projections are local estimate ranges for discussion and planning, not forecasts or funding decisions.
Generate a blueprint to compare literacy-first, infrastructure-first, and delayed-adoption scenarios.
Strategic roadmap
3-phase responsible adoption plan
Generate a blueprint to create the 0-3, 3-12, and 12-24 month roadmap.
Human decision points
Where people must make the call
2
Prioritize an investment scenario
Leaders compare tradeoffs and choose whether to emphasize AI literacy, infrastructure, or delayed adoption.
3
Set policy status
Decision-makers decide whether recommendations become policy proposals or remain advisory planning notes.
Lifecycle controls
Lifecycle & Governance
The blueprint is meant to be updated as community conditions, evidence, laws, and institutional capacity change.
Inputs should be reviewed every 6 months.
Scores should be updated when community data changes.
Drift detection should compare old readiness scores with new inputs.
Human reviewers should approve roadmap updates.
Public sector users should document assumptions before acting.
Evaluation strategy
How the system can be evaluated
Evaluation should test usefulness, calibration, adoption, and whether the dashboard communicates uncertainty honestly.
Compare recommendations with expert review.
Track whether priority actions are adopted.
Measure improvement in readiness scores over time.
Review false confidence cases where the system appeared certain but data was weak.
Scope boundaries
What this system does NOT do
These non-goals keep the prototype aligned with human governance, public accountability, and privacy-preserving decision support.
It does not make final policy decisions.
It does not allocate funding automatically.
It does not replace public consultation.
It does not claim predictions are certain.
It does not use personal or sensitive data.
Responsible AI guardrails
Human authority stays at the center.
CivicAI Readiness Blueprint is a decision-support prototype. It is designed to improve deliberation, not to automate public judgment.
This system does not make final policy or funding decisions.
It only supports human decision-makers.
Scores are estimates based on user-provided or synthetic data.
Human review is required before using recommendations.
The system should not be used when data is incomplete, biased, outdated, or when decisions directly affect rights, funding, safety, or access to essential services.
Architecture
Decision-support flow
Feedback loop ready
Step 1
Data Input
Community profile and 1-5 readiness scores.
Step 2
Scoring Engine
Local weighted scoring and gap detection.
Step 3
AI/Recommendation Layer
Mock guidance today, future reviewed AI assist.
Step 4
Dashboard Insights
Charts, gaps, scenarios, and roadmap.
Step 5
Human Decision Support
Leaders review, adapt, and approve actions.
Step 6
Feedback & Updates
Outcomes and review cycles improve the plan.